Integrated architecture dissolves RIS-PACS boundaries

Article

An enterprise-wide information management model developed at Harvard Medical School promises to bridge the disparities becoming apparent as radiology information systems extend their reach beyond the radiology department. Digital radiology departments

An enterprise-wide information management model developed at Harvard Medical School promises to bridge the disparities becoming apparent as radiology information systems extend their reach beyond the radiology department.

Digital radiology departments increasingly serve not just diagnostic imaging, but also the interventional, therapeutic, and telemedical imaging needs of an institution. One of the first integrated enterprise architectures for image information management systems was described in a recent paper (IEEE Trans Inf Technol Biomed. 2003 Sep).

"The current information management model of radiology is made up of islands of automation, including RIS and PACS. It lacks the proper means for monitoring and tracking progression of jobs and imaging cases," said lead author Stephen T.C. Wong, Ph.D., director of the Center of Bioinformatics at Harvard Medical School.

Cost containment issues and an increasing focus on electronic patient records further expose how inefficient and impractical the current models are in meeting the needs of the digital hospital.

According to Wong, his architecture provides a uniform way to integrate RIS, PACS, and the imaging modalities, while at the same time providing scalability across multiple hospital enterprises.

It also supports automatic activity coordination, configurable business process definition, process statistics collection, and business process reengineering. The design provides a customized working environment for each end-user category to improve productivity, he said.

"With these new supports, the architecture positions next-generation digital radiology information systems as sociotechnical systems tightly integrated with radiology enterprise management and other relevant clinical information systems in digital hospitals," Wong said.

Wong's prototype was demonstrated at the most recent meetings of the RSNA and Healthcare Information and Management Systems Society. The architecture project was originally sponsored by Philips Medical Systems, but the company is no longer involved.

"A metasoftware layer allows configuration to local workflow and routes the right information to the right place at the right time to the right user, bringing medical image management completely to the next level," Wong said.

Recent Videos
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.